The purpose of this study was to determine the effects of training on the force-, velocity-, and displacement-time curves using principal component analysis (PCA) to examine the pre to post intervention changes. Thirty-four trained women basketball players were randomly divided into training and control groups. The training intervention consisted of full squats combined with repeated jumps. The effects of the intervention were analysed before and after the training period of 6 weeks by comparing the principal component scores. The magnitude of differences within-/between-group were calculated and expressed as standardised differences. After the intervention period, clear changes in principal components were observed in the training group co...
Purpose: To discuss the use of principal-component analysis (PCA) as a dimension-reduction and visua...
Functional principal component analysis (FPCA) can be used to extract key features from time series ...
The aim of this study was to explore the use of principal component analysis (PCA) in understanding ...
Purpose: Recent studies have applied temporal phase analysis to compare the characteristics of the c...
The successful completion of motor tasks requires effective control of multiple degrees of freedom (...
BACKGROUND: Establishing the reliability of countermovement jump (CMJ) metrics over multiple weeks c...
This study assessed kinetic and temporal adaptations to the countermovement jump in response to a 6 ...
This study assessed kinetic and temporal profile adaptations to the countermovement jump in response...
The purpose of this study was to investigate changes in the principal component structure of counter...
This study aims to compare the lower limb kinematics between two landing tasks, using the Principal ...
The ability to analyse countermovement jump (CMJ) waveform data using statistical methods, like prin...
The purpose of the present study was (i) to explore the reliability of the most commonly used counte...
AbstractPurposeLong-term training specificity is thought to alter performance in tests evaluating st...
In functional principal component analysis (fPCA) a threshold is chosen to define the number of reta...
The aim of this study was to compare the effectiveness in identifying performance determining factor...
Purpose: To discuss the use of principal-component analysis (PCA) as a dimension-reduction and visua...
Functional principal component analysis (FPCA) can be used to extract key features from time series ...
The aim of this study was to explore the use of principal component analysis (PCA) in understanding ...
Purpose: Recent studies have applied temporal phase analysis to compare the characteristics of the c...
The successful completion of motor tasks requires effective control of multiple degrees of freedom (...
BACKGROUND: Establishing the reliability of countermovement jump (CMJ) metrics over multiple weeks c...
This study assessed kinetic and temporal adaptations to the countermovement jump in response to a 6 ...
This study assessed kinetic and temporal profile adaptations to the countermovement jump in response...
The purpose of this study was to investigate changes in the principal component structure of counter...
This study aims to compare the lower limb kinematics between two landing tasks, using the Principal ...
The ability to analyse countermovement jump (CMJ) waveform data using statistical methods, like prin...
The purpose of the present study was (i) to explore the reliability of the most commonly used counte...
AbstractPurposeLong-term training specificity is thought to alter performance in tests evaluating st...
In functional principal component analysis (fPCA) a threshold is chosen to define the number of reta...
The aim of this study was to compare the effectiveness in identifying performance determining factor...
Purpose: To discuss the use of principal-component analysis (PCA) as a dimension-reduction and visua...
Functional principal component analysis (FPCA) can be used to extract key features from time series ...
The aim of this study was to explore the use of principal component analysis (PCA) in understanding ...